scholarly journals International labor market competition and wives’ labor supply responses

2021 ◽  
Vol 70 ◽  
pp. 101983
Author(s):  
Pål Schøne ◽  
Marte Strøm
2017 ◽  
pp. 22-39 ◽  
Author(s):  
M. Ivanova ◽  
A. Balaev ◽  
E. Gurvich

The paper considers the impact of the increase in retirement age on labor supply and economic growth. Combining own estimates of labor participation and demographic projections by the Rosstat, the authors predict marked fall in the labor force (by 5.6 million persons over 2016-2030). Labor demand is also going down but to a lesser degree. If vigorous measures are not implemented, the labor force shortage will reach 6% of the labor force by the period end, thus restraining economic growth. Even rapid and ambitious increase in the retirement age (by 1 year each year to 65 years for both men and women) can only partially mitigate the adverse consequences of demographic trends.


2021 ◽  
pp. 152700252110246
Author(s):  
Luke Petach ◽  
Dustin Rumbaugh

American football season reduces the Monday labor hours of employed men by two-thirds of an hour. A similar effect is found for Friday labor hours. We term these effects the “hangover effect” and “happy hour effect.” Consistent with a wide class of labor market models, the labor supply effect varies over the business cycle, increasing in expansions. The hangover effect implies an intertemporal elasticity of labor supply on the order of 0.014. Evaluated at the median hourly wage, our estimates imply an annual economic cost of foregone earnings associated with football season in the neighborhood of $5.06 billion.


2016 ◽  
Vol 8 (1) ◽  
pp. 129-149 ◽  
Author(s):  
Jessica Goldberg

I use a field experiment to estimate the wage elasticity of employment in the day labor market in rural Malawi. Once a week for 12 consecutive weeks, I make job offers for a workfare-type program to 529 adults. The daily wage varies from the tenth to the ninetieth percentile of the wage distribution, and individuals are entitled to work a maximum of one day per week. In this context (the low agricultural season), 74 percent of individuals worked at the lowest wage, and consequently the estimated labor supply elasticity is low (0.15), regardless of observable characteristics. (JEL C93, J22, J31, O15, O18, R23)


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